Publications by authors named "M Lacki"
Article Synopsis
- The article explores how deep neural networks can identify small floating objects in a vessel's path, assessing potential threats from items like fishing nets and plastic debris.
- The research compares various neural network structures to determine the most efficient system for real-time detection and classification of sea surface images.
- Findings indicate that a lightweight detection system using convolutional neural networks can effectively assess safety levels in real time, aiding watch officers and helmsmen in preventing accidents.
Human leukocyte antigen (HLA) class I peptide ligands (HLAIps) are key targets for developing vaccines and immunotherapies against infectious pathogens or cancer cells. Identifying HLAIps is challenging due to their high diversity, low abundance, and patient individuality. Here, we develop a highly sensitive method for identifying HLAIps using liquid chromatography-ion mobility-tandem mass spectrometry (LC-IMS-MS/MS).
View Article and Find Full Text PDFThe metalloproteinase ovastacin is released by the mammalian egg upon fertilization and cleaves a distinct peptide bond in zona pellucida protein 2 (ZP2), a component of the enveloping extracellular matrix. This limited proteolysis causes zona pellucida hardening, abolishes sperm binding, and thereby regulates fertility. Accordingly, this process is tightly controlled by the plasma protein fetuin-B, an endogenous competitive inhibitor.
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- Integrating ion mobility separation (IMS) into mass spectrometry proteomics helps enhance the identification and analysis of peptides by linking mobility to the peptide's collisional cross-section (CCS), a stable property influenced by its mass, charge, and shape in gas form.!* -
- The developed tool, ionmob, is a customizable Python framework that allows users to prepare data, train models, and predict CCS values for peptides, using a large database of unique phosphorylated peptides and MHC ligand sequences.!* -
- Ionmob not only provides pretrained models for ease of use but also demonstrates that predicted CCS can improve the reliability of peptide identification in research settings, with the package available on GitHub for users to access and implement in
The analysis of the secretome provides important information on proteins defining intercellular communication and the recruitment and behavior of cells in specific tissues. Especially in the context of tumors, secretome data can support decisions for diagnosis and therapy. The mass spectrometry-based analysis of cell-conditioned media is widely used for the unbiased characterization of cancer secretomes in vitro.
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